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TitleStatusHype
Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding—0
What Makes Machine Reading Comprehension Questions Difficult? Investigating Variation in Passage Sources and Question Types—0
A statistical model for aggregating judgments by incorporating peer predictions—0
AstroMLab 1: Who Wins Astronomy Jeopardy!?—0
A System for Generating Multiple Choice Questions: With a Novel Approach for Sentence Selection—0
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense—0
Attribution analysis of legal language as used by LLM—0
Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL)—0
AutoDrive-QA- Automated Generation of Multiple-Choice Questions for Autonomous Driving Datasets Using Large Vision-Language Models—0
Auto-Evaluation: A Critical Measure in Driving Improvements in Quality and Safety of AI-Generated Lesson Resources—0
What Large Language Models Know and What People Think They Know—0
Automated Answer Validation using Text Similarity—0
Answering Chinese Elementary School Social Study Multiple Choice Questions—0
The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think—0
Automated Generation of Multiple-Choice Cloze Questions for Assessing English Vocabulary Using GPT-turbo 3.5—0
Automated Prediction of Examinee Proficiency from Short-Answer Questions—0
Automatic Distractor Generation for Multiple Choice Questions in Standard Tests—0
Automatic Distractor Suggestion for Multiple-Choice Tests Using Concept Embeddings and Information Retrieval—0
Automatic Generation of Distractors for Fill-in-the-Blank Exercises with Round-Trip Neural Machine Translation—0
Automatic Generation of Multiple-Choice Questions—0
Automatic Question Answering for Medical MCQs: Can It go Further than Information Retrieval?—0
Automating question generation from educational text—0
AutoMCQ -- Automatically Generate Code Comprehension Questions using GenAI—0
Auxiliary Class Based Multiple Choice Learning—0
The Earth is Flat? Unveiling Factual Errors in Large Language Models—0
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